Digital Technologies for Smart Agriculture

Digital Technologies for Smart Agriculture

Garima Singh, Gurjit Kaur
DOI: 10.4018/978-1-7998-1722-2.ch004
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This chapter will provide the reader with an introduction to the modern emerging technologies like cloud computing, machine learning, and artificial intelligence used in agriculture. Then a glimpse of complete crop cycle follows, including seven steps, namely crop selection, soil preparation, seed selection, seed sowing, irrigation, crop growth, fertilizing and harvesting; and how these digital technologies are helpful for the crop cycle is also explained in this chapter. The rest of the chapter will explain the merger of the modern digital technologies with the agricultural crop cycle and how the future farming will work.
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2. Digital Technologies Used In Agriculture

However, it still cannot be claimed that precision agriculture has been widely established in crop production, but is moving on to achieve it at a good pace by making use of advanced digital technologies. Different technologies being adapted for agricultural advancements are as shown in Figure 1.

Figure 1.

Digital Technologies used in Agriculture

  • 1.

    Internet of things (IoT)

  • 2.

    Artificial intelligence

  • 3.

    Machine learning.

More light will be thrown on these technologies in the subsequent paragraphs.


3. Iot In Agriculture

Internet of Things (IoT) is one of the digital technology that is used to enhance the agricultural productivity with minimizing the technological barriers. Today, IoT is capable enough to transform the agriculture industries and also motivating the farmers to face the technological challenges as they are now well aware with new technological developments and have sufficient knowledge through IoT.

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